multilingual-e5-large vs embeddinggemma-2-ONNX
Specs, VRAM requirements and download trends — updated 10 November 2026.
intfloat · A · Open weights
Params
560 M
Context
512
30d
7.1 M
mit · commercial OK
onnx-community · B · Open weights
Params
744 M
Context
—
30d
531 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | multilingual-e5-large | embeddinggemma-2-ONNX |
|---|---|---|
| Parameters | 560 M | 744 M |
| Architecture | XLMRobertaModel | EmbeddingGemma2Model |
| Context length | 512 | — |
| Licence | mit | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 94 | 1 |
| Downloads 30d | 7,131,743 | 530,928 |
| Downloads all time | 121.1 M | 623 K |
| Quantizations on the Hub | SAFETENSORS | — |
| Gated | No | No |
| First seen on the Hub | 2023-06-30 | 2026-10-04 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
7.6 M367 K
multilingual-e5-large
embeddinggemma-2-ONNX
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
multilingual-e5-large · fp16
3.0 GB / 24 GB